Title :
Adaptive nonlinear boundary control of a flexible link robot arm
Author :
de Queiroz, M.S. ; Dawson, D.M. ; Agarwal, M. ; Zhang, F.
Author_Institution :
Dept. of Mech. Eng., Polytech. Univ., Brooklyn, NY, USA
fDate :
8/1/1999 12:00:00 AM
Abstract :
We consider the problem of designing a boundary controller for a flexible link robot arm with a payload mass at the link´s free-end. Specifically, we utilize a nonlinear, hybrid dynamic system model (the model is hybrid in the sense that it comprises a distributed parameter, dynamic field equation coupled to discrete, dynamic boundary equations) to design a model-based control law which asymptotically stabilizes the link displacement while driving the actuator hub´s position to a desired setpoint. We then illustrate how the control law can be redesigned as an adaptive controller which achieves the same control objective while compensating for parametric uncertainty including unknown payload mass. The control strategy is composed of a boundary control torque applied to the actuator hub and a boundary control force at the link´s free-end. Experimental results are presented to illustrate the performance of the proposed control laws
Keywords :
Lyapunov methods; adaptive control; asymptotic stability; compensation; control system synthesis; distributed parameter systems; flexible manipulators; nonlinear control systems; nonlinear dynamical systems; adaptive nonlinear boundary control; boundary control torque; discrete dynamic boundary equations; distributed parameter dynamic field equation; flexible link robot arm; model-based control law; nonlinear hybrid dynamic system model; Actuators; Adaptive control; Force control; Nonlinear dynamical systems; Nonlinear equations; Payloads; Programmable control; Robot sensing systems; Torque control; Weight control;
Journal_Title :
Robotics and Automation, IEEE Transactions on